plot_confidence: Bivariate scatter plot with a confidence boundary
In Swarchal/Smisc: Scott's Misc Functions
Description
Usage
Arguments
Value
Examples
Description
Bivariate scatter plot with a confidence boundary calculates via a
2-dimensional kernel density estimate
Usage
1
2
plot_confidence(x, y, confidence = 0.9, title = "", xlab = "x",
ylab = "y")
Arguments
x
Numerical vector
y
Numerical vector
confidence
Confidence interval between 0 and 1, default is 0.9 i.e 90% CI
title
Title of plot
xlab
x-axis label
ylab
y-axis label
Value
plot
Examples
1
2
3
x <- rnorm(1000)
y <- rnorm(1000)
plot_confidence(x, y, title = "Example plot")
Swarchal/Smisc documentation built on May 9, 2019, 3:23 p.m.
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Description Usage Arguments Value Examples
Description
Bivariate scatter plot with a confidence boundary calculates via a 2-dimensional kernel density estimate
Usage
1 2 | plot_confidence(x, y, confidence = 0.9, title = "", xlab = "x",
ylab = "y")
|
Arguments
x |
Numerical vector |
y |
Numerical vector |
confidence |
Confidence interval between 0 and 1, default is 0.9 i.e 90% CI |
title |
Title of plot |
xlab |
x-axis label |
ylab |
y-axis label |
Value
plot
Examples
1 2 3 | x <- rnorm(1000)
y <- rnorm(1000)
plot_confidence(x, y, title = "Example plot")
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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